A glossary for social-to-biological research.

IF 1.2 4区 社会学 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Tony Robertson, Michaela Benzeval, Martin Betzer, Cara Booker, Raphaële Castagné, Cyrille Delpierre, Iain Gallagher, Michelle Kelly-Irving, Cathal McCrory, Tim Morris, Ethan Narimatsu, Robert Paval
{"title":"A glossary for social-to-biological research.","authors":"Tony Robertson, Michaela Benzeval, Martin Betzer, Cara Booker, Raphaële Castagné, Cyrille Delpierre, Iain Gallagher, Michelle Kelly-Irving, Cathal McCrory, Tim Morris, Ethan Narimatsu, Robert Paval","doi":"10.1332/17579597Y2024D000000032","DOIUrl":null,"url":null,"abstract":"<p><p>Research has shown that our socially structured experiences elicit a biological response, leading to the observation that numerous biomarkers (objective biological measures that are representative of various biological processes) are socially patterned. This 'social-to-biological' research is of interest to researchers across multiple disciplines and topics and especially to those with an interest in understanding the biological embodiment of the 'social environment'. Combining social and biomarker data is also of relevance to those examining the biological determinants of social behaviours (for example, the relationship between genetics and certain behaviours like smoking). However, as much of the research involving biomarkers and social data are multidisciplinary, researchers need to understand why and how to optimally use and combine such data. This article provides a resource for researchers by introducing a range of commonly available biomarkers across studies and countries. Because of the breadth of possible analyses, we do not aim to provide an exhaustive and detailed review of each. Instead, we have structured the glossary to include: an easy-to-understand definition; a description of how it is measured; key considerations when using; and an example of its use in a relevant social-to-biological study. We have limited this glossary to biomarkers that are available in large health and social surveys or population-based cohort studies and focused on biomarkers in adults. We have structured the glossary around the main physiological systems studied in research on social to biological transition and those that go across systems and highlight some basic terms and key theoretical concepts.</p>","PeriodicalId":45988,"journal":{"name":"Longitudinal and Life Course Studies","volume":"16 1","pages":"75-121"},"PeriodicalIF":1.2000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Longitudinal and Life Course Studies","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1332/17579597Y2024D000000032","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

Abstract

Research has shown that our socially structured experiences elicit a biological response, leading to the observation that numerous biomarkers (objective biological measures that are representative of various biological processes) are socially patterned. This 'social-to-biological' research is of interest to researchers across multiple disciplines and topics and especially to those with an interest in understanding the biological embodiment of the 'social environment'. Combining social and biomarker data is also of relevance to those examining the biological determinants of social behaviours (for example, the relationship between genetics and certain behaviours like smoking). However, as much of the research involving biomarkers and social data are multidisciplinary, researchers need to understand why and how to optimally use and combine such data. This article provides a resource for researchers by introducing a range of commonly available biomarkers across studies and countries. Because of the breadth of possible analyses, we do not aim to provide an exhaustive and detailed review of each. Instead, we have structured the glossary to include: an easy-to-understand definition; a description of how it is measured; key considerations when using; and an example of its use in a relevant social-to-biological study. We have limited this glossary to biomarkers that are available in large health and social surveys or population-based cohort studies and focused on biomarkers in adults. We have structured the glossary around the main physiological systems studied in research on social to biological transition and those that go across systems and highlight some basic terms and key theoretical concepts.

社会到生物学研究的术语表。
研究表明,我们的社会结构经历引发了一种生物反应,导致观察到许多生物标志物(代表各种生物过程的客观生物测量)是社会模式。这种“从社会到生物学”的研究对跨多个学科和主题的研究人员很感兴趣,特别是对那些对理解“社会环境”的生物学体现感兴趣的研究人员。结合社会和生物标记数据也与那些研究社会行为的生物学决定因素(例如,遗传与某些行为(如吸烟)之间的关系)有关。然而,由于涉及生物标志物和社会数据的许多研究是多学科的,研究人员需要了解为什么以及如何最佳地使用和组合这些数据。本文通过介绍一系列跨研究和国家的常用生物标志物,为研究人员提供了一个资源。由于可能的分析范围很广,我们不打算对每个分析提供详尽和详细的回顾。相反,我们对词汇表进行了结构化,包括:易于理解的定义;对如何测量的描述;使用时的关键考虑因素;还有一个在相关的社会生物学研究中使用它的例子。我们将此术语表限制为在大型健康和社会调查或基于人群的队列研究中可用的生物标志物,并专注于成人的生物标志物。我们围绕研究社会向生物转变的主要生理系统和跨系统的生理系统构建了词汇表,并突出了一些基本术语和关键理论概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.50
自引率
11.10%
发文量
43
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信